Why AI Can’t Crack The Code Of Luxury Desire
Luxury consumers are increasingly adopting AI for shopping, with 85% using assistants and 83% reporting high satisfaction. Despite this, luxury brands remain divided on AI integration, as the technology excels at fulfilling known intent rather than creating desire. Luxury thrives on serendipity, synchronicity, and synergy—human elements AI currently lacks. AI functions as an advanced search tool, efficiently guiding shoppers to pre-defined needs. However, luxury purchases often stem from unexpected discoveries and emotional connections, exemplified by the "pink skirt problem" where an unlooked-for item sparks desire. AI cannot anticipate readiness or read emotional signals crucial for generating luxury demand. Therefore, while AI satisfies intent, creating desire remains a uniquely human enterprise.
Luxury consumers are increasingly adopting generative and agentic AI as partners in their luxury shopping journey. A McKinsey survey among 300 luxury consumers found that 85% use an AI assistant to support shopping decisions and 83% report high satisfaction with AI shopping tools. The stage is set for luxury brands to plug into the agentic commerce ecosystem.
Yet while luxury brands widely recognize the AI opportunity, luxury leaders are not yet certain how quickly to move. Among 30 luxury merchants McKinsey surveyed—a small sample, but one that provides “directional indicators”—sentiment is equally divided between skepticism and bullishness (36% each), while 29% remain cautiously on the fence.
The skeptical and cautious majority have reason to go slow. AI shopping agents work extremely well when a consumer’s need is known, and purchase intent is high. However, luxury generally doesn’t operate in that sphere. But AI has yet to learn how to code the algorithm for desire.
While luxury leaders view AI as a way to augment the human connection, McKinsey observes that the "front door” to luxury—where intent begins—is moving “upstream” with AI increasingly holding the key to that door. As McKinsey explained, “Brands may still own the product and the story, but they no longer automatically own the interface where intent is first interpreted.”
The problem is that AI is programmed to move consumers along a linear shopping journey once intent is already there. If a shopper says, “Find me a refined, light-weight wool blue blazer suitable for an executive presentation,” AI will deliver just that: a curated set of options for consideration, context for evaluating those alternatives—price, quality, design features and brand perception—and a smooth path to purchase.
In other words, AI acts as a very advanced search bar, as PYMNTS CEO Karen Webster noted: “A better one than Google, one that can strip the complexity and friction out of discovery on the way to a purchase.”
AI is excellent at fulfilling intent in a sequential, rationally motivated shopping journey, and it assumes desire builds as the shopper moves along that path.
Luxury doesn’t work that way.
Webster details the difference in her essay, “The Pink Skirt Problem.” She tells the story of a recent online shopping journey to find a blue blazer. As she shopped, she spotted a pink skirt—a color she would never have looked for and styled in a way she’d never put together on her own. But the pink skirt was shown paired with a grey linen jacket virtually identical to one she already owned.
“Suddenly I wanted that skirt more than the blazer I had organized my shopping adventure around,” she said. Inspired by her accidental discovery, she bought the pink skirt and left the blue blazer hanging on the virtual rack.
Her shopping journey illustrates how desire begins before intent, emerges outside consideration and is triggered by three uniquely human forces that AI isn’t programmed for: serendipity, synchronicity and synergy.
Robert Merton, considered the founding father of modern sociology, was fascinated by the word “serendipity”—he and co-author Elinor Barber wrote a book, The Travels and Adventures In Serendipity, about it. They defined it as “that happy blend of wisdom and luck by which something is discovered not quite by accident.”
In the luxury context, it’s that chance discovery that triggers desire out of thin air—Webster’s pink skirt moment. “The seeing wasn’t a step on the way to purchase. The seeing was the purchase. It created the demand,” Webster wrote.
Serendipity is coded out of agentic AI. Its purpose is to find only what is asked for and leave the rest behind. Luxury, on the other hand, lives in a world where intentional need doesn’t exist and serendipity is very much in play. Demand is driven by desire. It may be triggered by visual cues, such as the pink skirt, social framing—this brand fits my social circle and my place within it—or a contextual detail that creates the emotional pull to purchase.
Serendipity is a powerful driver of luxury desire, but by design, AI suppresses it. Or as Webster stated: “AI agents can’t own serendipity.”
Central to Merton’s serendipity thesis is that of having a prepared mind—the readiness to seize on an unexpected discovery. In the luxury sphere, that is synchronicity—a chance discovery that creates meaning for the consumer at the precise time they are ready for it.
The luxury consumer must be primed and receptive to what is presented to them. This receptivity—shaped by identity, aspirations, styling cues, aesthetic values, brand status or other personal factors—must exist before the intent ever arrives.
And creating desire requires that the timing be right. Webster wasn’t shopping for a pink skirt, but she was in the mood to shop. Her eye, her budget and another piece in her closet were perfectly aligned at that moment.
AI can’t detect that alignment. It only sees what is asked for, not what may be right for the shopper at that exact moment, because the shopper didn’t and couldn’t define it. Synchronicity happens in the shopper’s mind and in their own time. AI doesn’t know yet how to read those signals.
Desire takes hold when multiple signals converge and amplify each other—a synergy that luxury depends on. It’s when serendipitous discovery meets the shopper’s timing and mindset, creating a need that wasn’t there before.
In Webster’s pink skirt example, she describes how the synergy of color, styling and unexpected pairing with a jacket she already owned reflects what retail merchandisers have long mastered.
“They read the styles, the trends, the weather, the shape of who their customer is, and they place bets on the unsought thing—the item nobody walked in for but that a certain kind of person walks out with,” she writes. “Serendipity, at the level of the rack, is manufactured. The store or the site is already running the model.”
AI is great at reading the styles and trends, even identifying what might be the right style, fit or color for the individual. But it runs on facts and data points. Luxury desire is built on emotion. Only other humans can read those emotional signals—and even then, not all people can.
However, the great creative directors, designers, stylists and sales associates have the emotional intelligence to see under the surface. They know how to read the individual, interpret the moment and create synergy with and for the customer.
AI is very good at doing the tasks it was created to do. But creating desire for luxury—a category where practical need doesn’t exist, and most people’s wallets argue against the purchase—is beyond its programming.
“The agent will take the intent column and serve it better than anything we’ve ever seen,” Webster said. “What it can’t take, or rather what it won’t reach because reaching it runs against everything it’s built to do, is creating the want before it showed up at the prompt—putting something unasked-for in front of them at the moment they’re ready to want it.”
AI can’t do that. It can’t sense readiness. It can’t read mood. It can’t anticipate a moment when a shopper is open to something they didn’t ask for.
Luxury has always resided outside rational intent. Desire—turning an object into something a shopper craves and needs—must come before intent. Agentic AI can satisfy intent superbly, but it cannot respond to what comes before it.
Desire is a uniquely human reaction that is propelled by serendipity, synchronicity and synergy—reading the individual, interpreting the moment and creating the want before the shopper recognizes it. At this stage in AI’s evolution, luxury remains fundamentally a human enterprise.